Abstract: The example systems, methods, and/or computer-readable media described herein help with design treatment plans for orthodontic treatments. Treatment templates expressed according to treatment domain-specific protocols may be processed to provide treatment planning software, including automated or real-time treatment planning software, that accommodates treatment preferences of a practitioner and/or patient data relevant to a treatment plan. These methods and systems may be also be useful for planning, designing and producing as series of dental appliances (e.g., aligners).

Abstract: A system includes a learning filter for deidentified healthcare data. The system provides self-improving data filtering of data for the detection of disorders for engaging patients in observational research to gather additional data. A processor performs operations including obtaining patient information about a patient and current order data. The current order data indicates an order for a laboratory test for the patient and obtaining, from a database, historical data indicating a previous laboratory test for the patient and a result of the previous laboratory test. The operations further include determining that the patient is a subject of interest for a disorder by applying the filter to historical data to produce filtered data and comparing the filtered data to a profile associated with the disorder. Additional laboratory tests can be performed, after which a hash-to-patient identifier (PID) mapping database and the filter can be updated.

Abstract: One embodiment provides a method for generating a predictive display on a graphical user interface. The method includes benchmarking performance of a hospital by evaluating metrics of departments within the hospital. The method includes obtaining current facility utilization information for each of the departments within the hospital. The method includes displaying, on a user interface, a graphical display of the current facility utilization information for each of the departments. The method includes receiving a user selection of a second time that is a future time relative to the current time. The method includes calculating at least one predictive utilization level of the departments at the second time. The method includes calculating a difference between the predictive utilization level and the current utilization level. The method includes adjusting the at least one visual attribute of the graphical representation according to the calculated difference. Other aspects are described and claimed.

Abstract: Described herein are systems and methods for real-time integration of resources across disparate electronic platforms, including automated data mapping and message translation for improved resource platform access. The embodiments provide technical solutions and technical improvements that overcome technical problems, drawbacks and/or deficiencies in the technical fields involving compatibility with multiple third-party APIs, unified access to data from multiple platforms, and efficient synchronization with multiple platforms. Technical solutions and technical improvements herein include aspects of improved API call normalization for scalable and flexible API calls that integrate with various platforms, proactive and/or real-time caching of data associated with the various platforms, and efficient orchestration of client queries, platform API calls and cache querying to answer the client queries most efficiently and quickly with up-to-date, synchronized data.

Abstract: The present disclosure relates to an imaging system for creating an image of an examination object comprising a system component and a control component. The system component has a component property that is able to assume a value in a first value range established by the imaging system. A corresponding system component of another imaging system comprises a corresponding component property with another value range with an overlap range with the first value range. The control component is embodied to control the use of the system component on the creation of the image, wherein the control component can be operated in a compatibility mode. In the compatibility mode, the control component is configured, on the creation of the image, to only allow values that lie within the overlap range for the component property of the system component.

Abstract: The disclosed systems and methods provide a systematic approach to analyzing an individual's lifestyle factors (e.g., foods consumed by the individual) that contribute to the individual's current or potential for disease, and taking further action based on that analysis. One example embodiment is a machine learning system that includes a food composition layer, chemical compounds layer, and disease layer. The food composition layer provides representations of chemical compounds of foods consumed or to be consumed by the individual. The chemical compounds layer is coupled to the food composition layer by links and filters the representations of the chemical compounds based on genetic or metabolic information of the individual, resulting in representations of personalized filtered chemical compounds.

Abstract: Disclosed is a modular, portable and rapidly deployable system for health assessment comprising a portable, rapidly deployable structure configured to provide immediate and real-time clinical prevention assessment services, which system allows for rapid assembly and disassembly, immediate deployment to even highly remote locations, and provides basic clinical prevention data and screening for a patient user, along with health education and awareness. In certain configurations, the system comprises modular walls that connect to one another to form the shell of a structure, and a plurality of medical instruments, all of which are configured for self-administration by a medically-untrained user. The user may engage one or more user interface devices that guide the user through the use of each medical instrument and collect the user's clinical data for analysis.

Abstract: The disclosed apparatus, systems and methods relate to the delivery of personalized nutraceutical products to a subject, comprising a library of actives; a software module; and a dispensing unit. In certain aspects, the system further comprises a packaging unit and a delivery unit. According to certain aspects, the library of actives comprises a plurality of active nutraceutical ingredients formulated for precise dispensing. In further aspects, the software module is constructed and arranged to receive prescription information for the subject and to output dispensing instructions to the dispensing unit. In still further aspects, the dispensing unit is constructed and arranged to receive dispensing instructions from the software module and to dispense one or more actives from the library of actives to form a nutraceutical product, and wherein the dispensing instructions are derived from the prescription information and customized to the nutritional needs of the subject.

Abstract: This disclosure describes a system that standardizes collection of home health observations during a home visit by a caregiver. The system causes display of a graphical user interface to the caregiver. The graphical user interface comprises observation fields that receive home health observations about conditions in the home, and a display field that displays a virtual representation of the home conditions. The system is configured to store the home health observations and the virtual representation in a subject profile for the subject that is part of a database of home health observations and virtual representations for a plurality of subjects, compare the home health observations and virtual representation to previous home health observations and previous virtual representations for similar subjects, determine suggested questions for the caregiver to ask the subject, update a care plan for the subject, and determine health recommendations for the subject.

Abstract: Systems and methods for selecting a treatment regimen for a particular patient are provided. The treatment regimen is selected using a first data store including a first plurality of patient records for a first plurality of patients, and a second data store including efficacy rates of a plurality of treatment regimens against a plurality of infections and infection-causing pathogens. The system, or a user of the system, identifies a first infection of the particular patient and a first treatment regimen to be prescribed to treat the first infection. A second plurality of patient records is generated by identifying, in the first plurality of patient records of the first data store, patient records associated with diagnosis or treatment of the first infection. The second plurality of patient records are appended with efficacy rates for the first infection from the second data store.

Abstract: A method for determining a treatment regimen for altering the treatment parameters when dialyzing a patient over a plurality of treatment sessions taking place on future days includes determining a diffusive total target sodium balance; and determining a transitional treatment regimen by which the diffusive total target sodium balance is achieved over the plurality of future treatment sessions. A control device or closed-loop control device is configured to control a blood treatment apparatus using the method.

Abstract: Systems and methods are provided for adjustment of difficulty level, quantity, and/or other parameters of knowledge-based authentication. The questions may be asked of a consumer based on one or more generated risk scores associated with the consumer's behavior, which may be derived from information received from the consumer, a representative responsible for entering information regarding the consumer, and/or from the consumer's computing device.

Abstract: There is a need to perform predictive inference to predict likely adverse events of a drug regimen consisting of multiple drugs. In one example, a method includes determining, based at least in part on a graph-based predictive database, one or more predictive categories for each patient node of a plurality of patient nodes; determining, based at least in part on each one or more predictive categories for a patient node and each of one or more patient attribute nodes for a patient node, a related patient cohort for the primary patient node, wherein the related patient cohort comprises the primary patient node and one or more related patient nodes; determining, based at least in part on one or more intake relationships for each patient node in the related patient cohort, a first related drug profile for the primary patient node; and generating a first prediction interface based at least in part on the first related drug profile.

Abstract: A method of valuating a plurality of digital content items including: receiving the plurality of digital content items; for each received content item: establishing a plurality of attributes from content and characteristics of the content item; establishing a lifetime indicating a span of consumers interest in the content item; producing a valuation function for calculating a market value of the content item during its lifetime by finding and ranking nearest one or more previously processed content items having the plurality of attributes with closest similarity to the plurality of attributes of the received content item, performing weighted averaging of the valuation functions produced for the nearest one or more of the previously processed content items; and adapting, using “edge cutting” adaptation, the produced valuation function to a market response reflecting behavior of the consumers in response to the market values of the content item calculated by the valuation function.

Abstract: A medical user interface for the combined use of at least two medical examination systems. The medical user interface includes a display data interface to connect to a display and to send medical display data to be displayed on the display, an input data interface to connect to an input device for receiving instructions of a user, a communication interface to a data connection with the medical examination systems, and a computer. The computer is designed to establish a data communication to the medical examination systems via the communication interface, and a) to create the display data and send the display data to the display, b) to process the instructions from a user, and c) to send control data to the medical examination systems or to receive and process medical examination data received from the medical examination systems.

Abstract: A storage medium stores a program. The program causes a first terminal apparatus to execute processing including: obtaining biological information on a subject from a first sensor provided in a mobile object, obtaining identification information for the subject, obtaining a detection time, and sending the biological information in association with the identification information for the subject and the detection time to an information processing apparatus.

Abstract: A computing system can receive, over the one or more networks, a request for a service from a client device of a user. In response to receiving the request, the system can generate a unique identifier for the request to facilitate a rendezvous between the user and a service provider, and transmit the unique identifier to the client device of the user. Based on the user and the service provider making the rendezvous, the system receives data corresponding to the unique identifier from a provider application executing on a client device of the service provider. Based on receiving the data corresponding to the unique identifier from the client device of the service provider, the system updates a status for the user to indicate that the service has been provided by the service provider for the user.

Abstract: A medical information processing apparatus according to an embodiment includes processing circuitry and a hardware display device. The processing circuitry generates a plurality of sets of virtual patient information in each of which patient attribute information, at least one medical action, at least one medical event, and at least one test result are associated with one another; receives a user's operation of selecting one of the sets of virtual patient information; and causes the hardware display device to display the event and the medical action included in the selected piece of virtual patient information in time series. The hardware display device displays, under control of the processing circuitry, the event and the medical action included in the selected piece of virtual patient information in time series.

Abstract: Apparatuses, systems and methods are provided to reduce return of prescriptions to stock. The apparatuses, systems, and methods may reduce return of prescriptions to stock based on a predictive model. The apparatuses, systems, and methods may reduce return of prescriptions to stock based on a response of a patient to a notification that a prescription has been received for the patient.

Abstract: A method for generating predictions for year-over-year change in drug spending and per member per month spending and for providing the predictions via a web portal includes receiving data collected from a health plan. The data includes per member per month costs of the health plan and demographic information of members of the health plan. The method includes selecting therapeutic classes based on the per member per month costs and demographic information, segmenting the data by the therapeutic classes, and detecting patterns by analyzing the segmented data. The method includes generating models for the therapeutic classes based on the patterns, and generating predictions for year-over-year change in drug spending and per member per month spending for the therapeutic classes by utilizing the models. The method includes providing the predictions via a web portal in at least one of a displayable graphical format and a downloadable data structure.